Triple

T7365149
Position Surface form Disambiguated ID Type / Status
Subject Golaghat district E169851 entity
Predicate namedAfter P63 FINISHED
Object Golaghat E169851 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Golaghat | Statement: [Golaghat district, namedAfter, Golaghat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golaghat
Context triple: [Golaghat district, namedAfter, Golaghat]
  • A. Tinsukia
    Tinsukia is a town in Assam, India, known as a commercial hub of the region and a gateway to nearby wildlife-rich areas such as Dibru-Saikhowa National Park.
  • B. Nagaon
    Nagaon is a major town and administrative center in the Indian state of Assam, known for its agricultural economy and strategic location in the Brahmaputra Valley.
  • C. Jorhat
    Jorhat is a prominent city in northeastern India known as a cultural and educational hub and a key center of the tea industry in Assam.
  • D. Tezpur
    Tezpur is a historic city in northeastern India known for its cultural heritage, archaeological sites, and scenic location on the banks of the Brahmaputra River.
  • E. Golaghat district chosen
    Golaghat district is an administrative district in the Indian state of Assam, known for encompassing much of the famed Kaziranga National Park, a UNESCO World Heritage Site.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f161d76081909da6d698fb3d8bb1 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7adaf3c819095214864b91316f6 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 3:06 p.m.